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Pavlos TopalidisView profile

Lecturer

• Sleep Science
• Cognitive Neuroscience
• Consciousness Research
• +5 more

Dr. Pavlos Topalidis is a Greek cognitive neuroscientist and PhD candidate at the University of Salzburg's Centre for Cognitive Neuroscience (CCNS), working in the laboratory for Sleep and Consciousness Research under the supervision of Univ.-Prof. Dr. Manuel Schabus. Since October 2023, he has served as a Junior Lecturer at the University of Salzburg, teaching Human Cognition and Sleep at both Bachelor and Master's levels. His educational background includes: PhD student at University of Salzburg (since 2019), Centre for Cognitive Neuroscience MSc in Neuro-Cognitive Psychology from Ludwig-Maximilians-Universität Munich (2017-2019) BSc (Hons, first class) in Psychology from University of Aberdeen, UK (2012-2016) Research visit at Yale University (2022) Dr. Topalidis's research focuses on information processing during sleep, particularly predictive coding and statistical learning mechanisms. His work explores how the brain processes information across wakefulness and sleep states, with applications in sleep monitoring using wearable technology. He investigates oscillatory brain activity patterns and their relationship to cognitive functions, with additional interests in cultural variations in sleep patterns and insomnia treatments. His technical expertise spans multiple neuroimaging methods including EEG, MEG, fMRI, and actigraphy, with advanced programming skills in Matlab and R for data analysis. His scientific contributions have been recognized with multiple awards including a poster award at the Sleep, Cognition and Consciousness Winter Symposium (2023) and a project presentation award at the ESRS Sleep School (2021). His research has led to numerous publications focusing on sleep classification algorithms, cross-cultural sleep studies, and the application of physiological measures to understand mental states. February 2023: Poster award at Sleep, Cognition and Consciousness Winter Symposium November 2022: Salzburg University research stay funding at Yale University (1700€) October 2022: Shortlisted for best poster award at the 26th European Sleep Research Society Conference September 2021: ESRS 3rd Sleep School project presentation award October 2013: ERASMUS scholarship As a Junior Lecturer, Dr. Topalidis mentors undergraduate and graduate students in cognitive neuroscience and sleep research. His current projects involve developing low-cost sleep monitoring solutions using wearable technology and investigating predictive coding mechanisms during sleep. He has also completed specialized training in Cognitive Behavioral Therapy for Insomnia (2023) and Good Clinical Practice (2022). Dr. Topalidis is an active member of the Sleep and Consciousness Research laboratory at the Centre for Cognitive Neuroscience, collaborating with researchers across Europe. His work bridges basic cognitive neuroscience with clinical applications, particularly in developing accessible sleep monitoring tools and understanding sleep's role in cognitive processing and memory consolidation.

Georg KrammerView profile

Researcher

• Educational Science
• Psychometrics
• Teacher Education
• +4 more

Dr. Georg Krammer serves as Deputy Head of Institute and Research Associate at Johannes Kepler University Linz's Institute for Business and Vocational Education since 2022, while also holding an International Visiting Professor (W3) position at Helmut Schmidt University Hamburg's Faculty of Humanities and Social Sciences since 2023. His academic journey includes professorial roles at University College of Teacher Education Styria (2016-2022) and research positions at Karl-Franzens University of Graz. Dr. Krammer's research spans educational science with specialization in psychometrics, teacher education, and open science practices. His work examines personality assessment in educational contexts, measurement invariance in teaching quality assessments, neuromyths in teacher education, and aggregation methods in educational psychology. Recent publications address mathematical procedural knowledge, gender-inclusive language effects, and pandemic-era online teaching. His 15 most recent publications demonstrate consistent output across educational psychology journals, with increasing international collaboration evident in multi-lab studies. The research shows evolution from personality assessment in admissions toward broader educational measurement and methodological issues in teacher education. Springer Nature Author Service Award 2025 Springer Nature Editorial Contribution Award 2025 Dr. Krammer actively contributes to academic service as Co-Editor of Zeitschrift für Bildungsforschung (2019-2025), member of the International Social Science Journal editorial board, and serves as JKU representative for Lifelong Career & Microcredentials through EC 2 U. His extensive peer review activities span over 30 journals including major publications in educational psychology and assessment. As Deputy Head of Institute, Dr. Krammer leads research initiatives within the Institute for Business and Vocational Education while maintaining active research collaborations across European institutions, evidenced by his visiting professorships at Western University (Canada) and Alpen-Adria-University Klagenfurt.

Ali OzkesView profile

Research Professor

• Collective Decision-Making
• AI Ethics
• Public Administration
• +7 more

Dr. Ali Ozkes is a Research Professor at the Institute for Public Management & Governance and an affiliated researcher at the Competence Center for Applied AI & Scientific Computing at Vienna University of Economics and Business. He also holds a part-time professorship at SKEMA Business School. His academic journey includes a habilitation from University Paris 1 Panthéon-Sorbonne, a doctorate from École Polytechnique in Paris, a master's from Istanbul Bilgi University, and bachelor's degrees from the University of London and LSE. Dr. Ozkes' research spans several interconnected fields: Collective decision-making processes and consensus building Ethics of artificial intelligence and human-AI interaction Public administration and organizational behavior Behavioral social sciences and social choice theory Strategic decision-making in public and nonprofit sectors His recent publications (2024-2025) show a strong focus on the intersection of AI ethics, public administration, and organizational decision-making. Key themes include consensus building in leadership teams, ethical frameworks for AI in public sector applications, and cognitive models of decision-making. His work frequently appears in top journals across management, public administration, and AI ethics domains. Scientific recognition includes: WU Visiting Fellowship for Japan (2019) Dr. Ozkes actively supervises graduate students and has served on numerous doctoral committees. His research is supported by multiple interdisciplinary projects, including 'Morality, social choice and artificial intelligence' (2019-2021) and 'Establishment of an international research center for experimental financial markets' (2020-2025). He has collaborated with institutions worldwide including Aix-Marseille University, Caltech, Lund University, and Waseda University. Dr. Ozkes contributes significantly to academic service as co-editor of code and data for Management Science and co-editor of a special issue of Theory and Decision. He is also a member of several prestigious academic societies including the Academy of Management, Association for Computing Machinery, and Society for Social Choice and Welfare. His expertise was instrumental in developing the Code of Conduct for General Purpose AI Models under the EU AI Regulation.

Jozsef AratoView profile

Research Fellow

• Cognitive Science
• Data Science
• Eye-tracking
• +4 more

Jozsef Arato is a Research Fellow at the Vienna Cognitive Science Hub, University of Vienna, where he has worked as a senior scientist for data science since 2019. His research spans multiple interdisciplinary domains within cognitive science, with particular expertise in computational modeling of eye-movement patterns and visual statistical learning. His research interests focus on understanding the principles that guide learning and decision-making through computational modeling approaches. He investigates how eye-movement patterns can reveal learning processes, comparing gaze patterns across different observers. His work spans diverse application areas including art perception, environmental psychology, and animal communication systems. His publication record from 2020-2024 shows a strong focus on eye-tracking methodologies applied to art perception, with significant contributions to understanding how gaze patterns relate to aesthetic experiences. His research also extends to environmental conservation psychology and comparative studies of vocal learning in birds, demonstrating remarkable interdisciplinary breadth. Dr. Arato has been actively involved in academic service, having served as Program Chair of the Pattern Recognition in Neuroimaging Summer School in 2020. He organizes the CogData reading group and contributes to the academic community through collaborative research projects. As an educator, he teaches Scientific Computing in Python (TEWA 1) for the Psychology master's program at the University of Vienna. Previously, he taught Cognitive Modelling at both the University of Vienna and Eötvös University in Budapest, demonstrating his commitment to training the next generation of cognitive scientists and data analysts.

• Sociolinguistics
• Multilingualism
• Construction Grammar
• +3 more

Barbara Soukup is an Associate Professor at the University of Vienna , affiliated with the Faculty of Philology and Cultural Studies and the Institute of German Studies . Her academic career spans institutions including Georgetown University, where she earned a PhD and MSc in Linguistics, and the University of Vienna, where she completed her Mag.phil. in English and French. Education: PhD in Linguistics, Georgetown University (2008) MSc in Linguistics, Georgetown University (2005) Mag.phil. in English and French, University of Vienna (2000) Research Interests focus on sociolinguistics, multilingualism, and construction grammar, with particular emphasis on linguistic landscapes, language attitudes, and cognitive sociolinguistics. She pioneered the Variationist Linguistic Landscape Study (VaLLS) methodology and explores dialect use in Austrian media and public spaces. Recent Publications (2020-2025) analyze quantitative approaches to linguistic landscape research, dialect as metonymic devices, and language attitudes in multilingual urban environments. Articles highlight Vienna's linguistic diversity and methodological innovations in sociolinguistic fieldwork. Awards & Grants: Elise-Richter Grant (2014) Psychology of Language Award (2014) Conference Travel Grants (2002) University of Vienna Achievement Award (2001) Projects include ELLViA (2014-2021) and VisibLL (2022-2025), both examining linguistic landscapes in Vienna through citizen science and interdisciplinary collaboration. She has delivered over 100 lectures and participated in public exhibitions on urban multilingualism.

Stefan WagnerView profile

Professor

• Innovation Management
• Technological Change
• Intellectual Property
• +3 more

Univ.-Prof. Dr. Stefan Wagner is a Professor of Business Administration with a focus on Innovation and Technology Management at the University of Vienna since October 2024. Previously, he held positions as Assistant Professor (2011–2012), Associate Professor (2013–2022), and Director of the PhD Program (2017) at ESMT European School of Management and Technology in Berlin. He has also served as Senior Fellow at the Berlin Center for Consumer Policy, Visiting Fellow at the University of Melbourne, and Visiting Professor at Pontificia Universidad Católica de Chile. Wagner’s research explores innovation processes, patent systems, and business strategy. His work examines how firms leverage technological recombination inventor mobility freemium pricing models patent thickets data-driven optimization to enhance competitiveness and drive technological progress. His recent publications focus on topics like bureaucracy measurement in German legislation personalized content monetization in mobile games software product bundling strategies Markush patent structures data exclusivity in pharmaceutical innovation reflecting his expertise in linking innovation research to practical business applications.

• Computer Vision
• Explainable Machine Learning
• Statistical Models in AI
• +3 more

Siavash Arjomand Bigdeli serves as an Associate Professor of Computer Vision at the Technical University of Denmark, following prior employment as a scientist at the Swiss Center for Electronics and Microtechnologies (CSEM). His research focuses on: Ante-/Post-Hoc explainability of machine learning models Integration of statistical models in learning/inference processes Philosophical methodologies in artificial intelligence development Advanced computer vision techniques for visual understanding Recent publications reveal consistent specialization in image restoration and stereo vision, employing deep learning architectures and probabilistic graphical models to solve core challenges in visual data reconstruction and temporal coherence. His work demonstrates strong interdisciplinary connections between theoretical machine learning, practical computer vision applications, and epistemological considerations in AI systems.

• Computer Vision
• Sensor-based Activity Analysis
• Imaging
• +3 more

Md Atiqur Rahman Ahad is a Professor at the University of Dhaka (DU) and a Specially Appointed Associate Professor at Osaka University. His academic career spans multiple institutions across Bangladesh, Australia, and Japan. His educational background includes: B.Sc.(Honors) and Masters from University of Dhaka Masters from University of New South Wales PhD from Kyushu Institute of Technology Professor Ahad is a recognized expert in computer vision and activity analysis. His research focuses on: Computer Vision and Image Processing Sensor-based Activity Analysis Human-Media Interaction Gesture and Activity Recognition Imaging Technologies His recent publication trends show a strong emphasis on activity recognition using various sensor modalities and computer vision techniques. He has published extensively on packaging activity recognition, gait analysis, and hand gesture recognition, demonstrating expertise in both theoretical foundations and practical applications of vision-based activity understanding. Professor Ahad serves in editorial roles for academic journals: Associate Editor for Human-Media Interaction, Frontiers in Computer Science Guest Associate Editor for Big Data Networks, Frontiers in Big Data

Michael IrlacherView profile

Associate Professor

• International Economics
• Labor Economics
• Industrial Organization
• +3 more

Michael Irlacher is an Associate Professor in the Department of Economics at Johannes Kepler University Linz, where he has been tenured since October 2024. Previously, he served as a tenure-track Assistant Professor (2019-2024) and non-tenure-track Assistant Professor at the University of Munich (2014-2019). He maintains active research affiliations as a Research Affiliate at CESifo since November 2018 and as a Member of the Standing Field Committee in International Economics for the German Economics Association (VfS) since May 2022. His educational background includes a Habilitation (venia legendi) from Johannes Kepler University Linz with a thesis on Essays in International Trade and Spatial Economics , a PhD in Economics (summa cum laude) from the University of Munich with a dissertation on Essays on Multi-Product Firms and International Trade , and a Diplom (M.A.) in Economics from the University of Munich. Dr. Irlacher's research program focuses on international economics, particularly examining multiproduct firms, trade dynamics, and labor market implications. His work bridges theoretical modeling with empirical analysis of firm behavior in international markets. He has made significant contributions to understanding how mergers affect product scope of firms, how trade costs impact commodity substitution patterns, and how technology influences internationalization strategies. His research often employs spatial and structural econometric methods to analyze complex economic phenomena. His recent publications reveal a consistent focus on the intersection of firm heterogeneity and international trade, with particular attention to how multi-product firms navigate global markets. The research demonstrates sophisticated methodological approaches combining theoretical modeling with detailed empirical analysis of firm-level data, particularly from European contexts. His work has important policy implications for trade policy, competition policy, and understanding the distributional effects of globalization. At JKU Linz, Dr. Irlacher teaches International Economics courses and supervises bachelor theses. His teaching covers both theoretical foundations and empirical applications of international trade models, with particular emphasis on contemporary issues in global trade dynamics. He is actively involved in the academic community through seminar presentations, conference participation, and collaborations with researchers across Europe.